Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit

@inproceedings{Ekstrand2011RethinkingTR,
  title={Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit},
  author={Michael D. Ekstrand and Michael Ludwig and Joseph A. Konstan and John Riedl},
  booktitle={RecSys '11},
  year={2011}
}
  • Michael D. Ekstrand, Michael Ludwig, +1 author John Riedl
  • Published in RecSys '11 2011
  • Computer Science
  • Recommender systems research is being slowed by the difficulty of replicating and comparing research results. Published research uses various experimental methodologies and metrics that are difficult to compare. It also often fails to sufficiently document the details of proposed algorithms or the evaluations employed. Researchers waste time reimplementing well-known algorithms, and the new implementations may miss key details from the original algorithm or its subsequent refinements. When… CONTINUE READING

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 145 CITATIONS, ESTIMATED 83% COVERAGE

    Towards reproducibility in recommender-systems research

    VIEW 4 EXCERPTS
    CITES BACKGROUND
    HIGHLY INFLUENCED

    Comparative recommender system evaluation: benchmarking recommendation frameworks

    VIEW 2 EXCERPTS
    CITES RESULTS & BACKGROUND

    Mix and Rank: A Framework for Benchmarking Recommender Systems

    VIEW 1 EXCERPT

    FILTER CITATIONS BY YEAR

    2012
    2020

    CITATION STATISTICS

    • 20 Highly Influenced Citations

    • Averaged 13 Citations per year from 2018 through 2020

    References

    Publications referenced by this paper.
    SHOWING 1-4 OF 4 REFERENCES

    Evaluating collaborative filtering over time

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Evaluating the dynamic properties of recommendation algorithms

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Netflix update: Try this at home

    • S. Funk
    • http://sifter.org/ ̃simon/journal/20061211.html,
    • 2006
    VIEW 11 EXCERPTS
    HIGHLY INFLUENTIAL